Staff Forward Deployed Engineer

Afresh

. Partner with Afresh's account lead and customer technical teams to scope and architect data sources, architecture, and production delivery paths .

Posted 9/29/2026full-timeRemote • United StatesLead💰 $168,912 - $253,368 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade software and data systems, particularly with LLMs and agents. Proficient in data engineering, cloud data platforms, and creating reusable infrastructure while effectively collaborating with customer teams.

Highest-signal resume keywords

Production-Grade CodeData EngineeringLLM and Agent SystemsCloud Data PlatformsCustomer Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentData Pipeline ConstructionData ModelingAI System EvaluationSolution Design

Soft Skills

Problem SolvingCustomer-Facing CommunicationAdaptability

Tools & Technologies

DatabricksBigQuerySnowflake

Industry Keywords

Data ArchitectureEnterprise DataFeedback LoopAnalytics AgentsAgent Frameworks

Tech Stack

Tools & technologies

BigQueryCloudSwitching

About the role

Key responsibilities & impact

Partner with Afresh's account lead and customer technical teams to scope and architect data sources, architecture, and production delivery paths
Embed with customer data and engineering teams remotely and on-site
Integrate into customer cloud and data platforms
Build production-grade pipelines and model messy enterprise data into trustworthy data products
Design and ship production-ready LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents
Harden field learnings into the shared platform's knowledge and grounding layer, agent frameworks, and serving infrastructure
Build evaluations, tracing, and tooling to measure accuracy, hallucination rate, latency, and cost
Create clean interfaces and reusable building blocks rather than one-off customer code
Own the feedback loop between customer deployments and platform improvements

Requirements

What you’ll need

5+ years building production software and data systems, with strong, production-grade code
Ability to take ambiguous problems and messy data landscapes, design clean and workable solutions, and build them
Production experience building real systems with LLMs and agents, including retrieval/RAG and tool-use
Ability to evaluate AI system quality
Data-engineering experience building and operating data pipelines and modeling messy enterprise data
Experience with a modern cloud data platform such as Databricks, BigQuery, Snowflake, or similar
Ability to work directly with customer engineers and data teams
Comfort switching between customer-facing work and reusable infrastructure development
Willingness to travel regularly to customer sites (~10-20%)
This position is not eligible for company sponsorship
Remote employees must reside in one of the following states: Alabama, Arkansas, California, Colorado, Florida, Georgia, Illinois, Kentucky, Massachusetts, Michigan, Montana, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Texas, Washington, Utah, Virginia, Wisconsin

Benefits

Comp & perks

Meaningful early-stage equity
Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh
Mental health support and counseling services
401(k) program with a generous company match
Home office stipend
Coworking Wallets for flexible workspace access
Annual professional development budget
Monthly Betterment wellness/lifestyle stipend
Monthly telecommunications stipend
Flexible paid time off